The values and value of community heritage: visitor evaluation of do-it-yourself museums and archives of popular music in Europe, Australasia and the United States of America

Baker, Sarah; Cantillon, Zelmarie; Istvandity, Lauren; Long, Paul

doi:10.1080/1743873x.2021.1888957

Cited by 2 publications

(3 citation statements)

References 36 publications

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“…The tourist experience is defined as the experience that consumers receive, either directly or indirectly, regarding the service process, company, facilities, and how a consumer interacts with the company and with other consumers [123]. This, in turn, will create cognitive, emotional, and behavioral responses to consumers and leave consumers or visitors memories of experiences during and after visiting this destination [124][125][126][127][128][129].…”

Section: Intention To Visitmentioning

confidence: 99%

The Impact of Social Media Influencers Raffi Ahmad and Nagita Slavina on Tourism Visit Intentions across Millennials and Zoomers Using a Hierarchical Likelihood Structural Equation Model

et al. 2022

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Background: In this paper, we examine how social media influencers can influence visit intention, especially in the case of Raffi Ahmad and Nagita Slavina, a top influencer who by 2 September 2021 had reached 21.3 M subscribers on YouTube and 54.9 m followers on Instagram with an engagement rate of 0.42%. The focus of this study is Generation Y or Millennials (born 1981–1996) and Generation Z (born 1997–2012). Design/methodology/approach: Snowball sampling was performed to arrive at a representative group of Millennials. Data analysis was performed using hierarchical likelihood via structural equation modeling. Findings: The study results are helpful for a comprehensive understanding of factors affecting visit intention. Effects of the study results summary, tourists from Generations Y and Z are thriving within the internet of things and the digital age, an era in which information can be accessed via various forms of technology across multiple platforms. Practical implications: We discuss and identify the relative importance of each factor through the use of logistics with variational approximation and structural equation models using hierarchical likelihood. Originality: The technique we use is an integrated and extended version of the structural equation model with hierarchical likelihood estimation and features selection using logistics variational approximation.

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Section: Intention To Visitmentioning

confidence: 99%

The Impact of Social Media Influencers Raffi Ahmad and Nagita Slavina on Tourism Visit Intentions across Millennials and Zoomers Using a Hierarchical Likelihood Structural Equation Model

et al. 2022

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“…w k is the connection method representing the kth rule, that is, the sum of the weight products of the output variables, as shown in Equation (5).…”

Section: Analysis and Implementation Of Music Intelligent Systemmentioning

confidence: 99%

“…home systems, etc. Therefore, this work proposes a new music teaching research based on cloud computing and data mining technology [5][6].…”

Section: Introductionmentioning

confidence: 99%

Analysis of music teaching technology based on a data mining model

Liu

2023

Applied Mathematics and Nonlinear Sciences

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To solve the problem of low teaching efficiency in the traditional music course online assistant teaching system, the author proposes a music teaching technology analysis method based on a data mining model. The author proposes a music education model based on the RBF algorithm, which will help improve students’ exploration skills and play an important role for teachers. Through learning and teaching, students can become the center of learning and promote their interest and knowledge in music education. Firstly, the research status of intelligent interactive music learning is analyzed, and then the creation of a neuron model and RBF algorithm using intelligent technology, the definition of music learning methods, and the creation of an independent learning platform are discussed. Select an existing manual for comparative testing. The experimental results show that the training performance of the proposed method exceeds 90%. Although the training performance of both systems is improving, the demonstration of the planning process is very high, and there are some opportunities. Conclusion: Intelligent machines play a great role in students’ music learning, providing better learning opportunities, and providing useful aspects for educational research.

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The values and value of community heritage: visitor evaluation of do-it-yourself museums and archives of popular music in Europe, Australasia and the United States of America

Cited by 2 publications

References 36 publications

The Impact of Social Media Influencers Raffi Ahmad and Nagita Slavina on Tourism Visit Intentions across Millennials and Zoomers Using a Hierarchical Likelihood Structural Equation Model

The Impact of Social Media Influencers Raffi Ahmad and Nagita Slavina on Tourism Visit Intentions across Millennials and Zoomers Using a Hierarchical Likelihood Structural Equation Model

Analysis of music teaching technology based on a data mining model

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